Comparing the Relative Fit of Various Factor Models of the Self-Consciousness Scale in Two Independent Samples
Why this work is in the frame
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Bibliographic record
Abstract
Research shows that using highly self-aware participants yields studies of higher reliability, validity, and statistical power; dispositional self-awareness is commonly measured using the Fenigstein Self-Consciousness Scale (Fenigstein, Scheier, & Buss, 1975). This study used confirmatory factor analysis to compare various factor models that may underlie that scale. Two independent student samples (296 from Bernstein, Teng, & Garbin, 1986, and 350 from a large Canadian university) completed the scale. Using 6 fit criteria, results from both samples supported the Burnkrant and Page (1984) 4-factor model, namely, that self-consciousness consists of 3 principle scales: Social Anxiety, Public Self-Consciousness, and Private Self-Consciousness (divided into Internal State Awareness and Self-Reflectiveness). We discuss the psychometric implications of enhancing scale reliability, validity, and self-awareness.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it